{"id":"W4254931772","doi":"10.1515/iupac.73.0602","title":"Sn","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Food science; Chemistry; Commission; Biochemistry; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Data mining; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001211001,0.00224591,0.001561758,0.004831865,0.001119128,0.00372275,0.002817936,0.002394395,0.1281108],"category_scores_gemma":[0.01005008,0.0006333433,0.001795993,0.007570481,0.0004670232,0.002294888,0.003093873,0.00182109,0.226908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583386,"about_ca_system_score_gemma":0.003341419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02109434,"about_ca_topic_score_gemma":0.04102477,"domain_scores_codex":[0.9977431,0.0003294425,0.0003139431,0.0009161875,0.0004292489,0.0002679695],"domain_scores_gemma":[0.9969157,0.0006809453,0.0003062328,0.0008969887,0.0009712978,0.0002287728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001314072,0.00002256988,0.002057244,0.001284965,0.00006788839,0.00003905993,0.00003236679,0.0002696159,0.000173946,0.001097976,0.9859634,0.008859561],"study_design_scores_gemma":[0.0001087709,0.00001650136,0.002544669,0.0005621346,0.00003935324,0.00009316488,0.00006856948,0.0002903413,0.0002680853,0.001921399,0.9940646,0.00002235787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001308352,0.0001412358,0.0001479007,0.00007297524,0.00004413236,0.00001930129,0.9977484,0.0003007952,0.001394418],"genre_scores_gemma":[0.0002677657,0.0001077942,0.0002675719,0.00006775674,0.000008229151,0.00005641255,0.9983543,0.0000492968,0.0008209684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8718892,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01712102378183186,"score_gpt":0.4305536492379826,"score_spread":0.4134326254561507,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}